26 to 50 of 1,144 Machine Learning Jobs in London

Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

looking for an experienced data scientist who enjoys solving complex problems, building reliable machine learning solutions and helping others develop their skills. This is a Hybrid role - 1/2days a week in central London Salary is up to £67,500 with 12.5% bonus Excellent team, with bright … experts to make sure the solutions we build are practical, robust and deliver value. What you'll be doing Leading the technical delivery of machine learning and data science projects. Designing, building and evaluating machine learning models to solve business problems. Working with subject matter experts ...

adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound … science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information If you feel that you would be a strong addition to our team ...

Data Scientist (AI & Machine Learning) – Renewable Energy & Emerging Technologies London/Hybrid About the Role We're looking for an AI-focused Data Scientist to join our Engineering & Development team, helping transform how renewable energy projects are identified, evaluated and developed. You'll work at the intersection … artificial intelligence, machine learning, geospatial analytics and energy infrastructure , building intelligent models and AI-powered tools that support investment decisions across large-scale Solar PV and Battery Energy Storage System (BESS) projects. This role goes far beyond reporting and analytics. You'll design predictive models, automate complex engineering ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling ...

Project: Minimum 6 months (May be extended based on client feedback and requirement) Joining: Immediate Added date: Fri, 07-Jan-2022 Data Science/ML/AI Technical Code Writer for Blogs Job Location: Work from Home Qualification: Knows DS/ML/AI and has implemented projects Employment Type … going to be the input for a blog on our website Be a Technical writer whose code would be used by the company for learning content in our blogs Have originality in content and be creative at the same time Plagiarism of any form is not accepted Full Stack ...

prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search … prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups ...

selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals. Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build … models to tackle real business problems preferably in a fast moving tech company You have experience developing and shipping state of the art ML models to production and delivering business impact You're impact driven and excited to own the end to end journey that starts with a business ...

experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. … evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You will Build scalable systems for training and fine-tuning large-scale generative ...

their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.Product Manager III, GenAI & ML PlatformThe GenAI and Machine Learning Platform team is responsible for building and scaling the internal capabilities that power AI-driven innovation across … will help bridge strategy and execution, supporting both roadmap delivery and the day-to-day orchestration required to bring impactful AI/ML products to life.In this role, you will:Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business ...

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

increased demand for machine learning and AI model development and validation services. The Assistant Manager role will appeal to data scientists and ML engineers with a minimum of two years’ post-graduate experience who are ready to take responsibility for model development, tool-building, and technical validation across … towards experience) Expertise in development of machine learning models (not purely pipelines or dashboards) Strong Python programming skills, including use of key ML libraries/packages Practical experience with one or more cloud compute platforms (Azure, AWS, or Google Cloud) Demonstrable exposure to LLMs, agentic frameworks, or technical ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on prem and in the cloud. You will work cross-functionally across ML engineering … data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: Enable AI/ML, LLM, and Agentic Systems teams for scale – The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

accommodating any needs you might have. Role Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational … evolve them as shared systems Partner closely with senior stakeholders across the business to define problems, and lead the design of general-purpose, scalable ML solutions that power features like content understanding, moderation, and personalisation Lead the end-to-end lifecycle of large-scale experiments, from hypothesis generation through evaluation ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment … monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in 2025–2026. Responsibilities Train, evaluate, and deploy machine‐learning models in production. Work across LLMs, computer vision, recommender systems ...

from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify ...

lead, develop, and empower our Data and AI teams. This role balances leadership with technical excellence; you’ll define how data, analytics, machine learning, and generative AI enable the wider business. You’ll work closely with senior stakeholders, translating business objectives into a clear Data and AI strategy … measure the impact of Data and AI initiatives, data quality, model performance, adoption, and team effectiveness Drive best practices across data engineering, analytics, machine learning, data governance, experimentation, model monitoring, and responsible AI Ensure that AI solutions are robust, explainable, compliant, and aligned to business outcomes Support career ...

highly technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This … generic machine learning role — and it’s not another business building around off-the-shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches can’t. ...

Senior through to Staff Machine Learning Engineers. Key Responsibilities Design, build and deploy production machine learning systems Own the full ML lifecycle, from data preparation through to training, evaluation and inference Turn research into reliable, production-ready ML solutions Optimise models for performance, latency, scalability … robust training and inference pipelines Debug complex production issues using real-world data and signals Mentor engineers and help drive engineering standards across the ML function Key Requirements Commercial experience building and deploying production ML systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model … build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with ...